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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Wed, 27 May 2009 09:39:24 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/27/t1243439006n611ivwg7hm77eg.htm/, Retrieved Sat, 14 Feb 2026 08:54:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40439, Retrieved Sat, 14 Feb 2026 08:54:31 +0000

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Estimated Impact

383

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [(Partial) Autocorrelation Function] [Opdracht 6 Bis Oe...] [2009-05-27 15:39:24] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P     [(Partial) Autocorrelation Function] [Opdracht 6 Bis Oe...] [2009-05-27 16:05:41] [74be16979710d4c4e7c6647856088456] 
-    D    [(Partial) Autocorrelation Function] [opdracht 6Bis Oef...] [2009-05-27 16:22:20] [74be16979710d4c4e7c6647856088456] 
-   P       [(Partial) Autocorrelation Function] [Opdracht 6Bis Oef...] [2009-05-27 16:34:59] [74be16979710d4c4e7c6647856088456] 
-   P         [(Partial) Autocorrelation Function] [Opdracht 6Bis Oef...] [2009-06-07 17:43:57] [74be16979710d4c4e7c6647856088456] 
-   P       [(Partial) Autocorrelation Function] [Opgave 6 Bis Oefe...] [2009-06-02 20:40:10] [74be16979710d4c4e7c6647856088456] 

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40439&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40439&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40439&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.499538	4.2387	3.3e-05
2	0.294086	2.4954	0.007437
3	0.186006	1.5783	0.059439
4	-0.025916	-0.2199	0.413283
5	-0.117689	-0.9986	0.16066
6	-0.219519	-1.8627	0.033294
7	-0.186776	-1.5848	0.058692
8	-0.100033	-0.8488	0.199402
9	0.028785	0.2442	0.403868
10	0.073049	0.6198	0.26866
11	0.234924	1.9934	0.025004
12	0.643267	5.4583	0
13	0.276641	2.3474	0.010829
14	0.133165	1.1299	0.131125
15	0.078298	0.6644	0.254283
16	-0.092697	-0.7866	0.217061
17	-0.124197	-1.0538	0.147738
18	-0.205911	-1.7472	0.042432
19	-0.200215	-1.6989	0.04683
20	-0.093638	-0.7945	0.214744
21	-0.010596	-0.0899	0.464304
22	0.05393	0.4576	0.324306
23	0.23488	1.993	0.025025
24	0.540306	4.5846	9e-06
25	0.25674	2.1785	0.016322
26	0.123012	1.0438	0.150037
27	0.021149	0.1795	0.429042
28	-0.115572	-0.9807	0.165021
29	-0.138651	-1.1765	0.121637
30	-0.231081	-1.9608	0.026887
31	-0.210914	-1.7897	0.038857
32	-0.114261	-0.9695	0.167761
33	-0.071502	-0.6067	0.272975
34	-0.041658	-0.3535	0.362382
35	0.074101	0.6288	0.265746
36	0.302874	2.57	0.00612
37	0.102432	0.8692	0.193823
38	0.026195	0.2223	0.412367
39	-0.054585	-0.4632	0.32232
40	-0.14598	-1.2387	0.109743
41	-0.145596	-1.2354	0.110345
42	-0.237249	-2.0131	0.023921
43	-0.205485	-1.7436	0.042748
44	-0.145312	-1.233	0.110791
45	-0.108272	-0.9187	0.180654
46	-0.045215	-0.3837	0.351179
47	0.037691	0.3198	0.375017
48	0.224949	1.9088	0.03014

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & 0.499538 & 4.2387 & 3.3e-05 \tabularnewline
2 & 0.294086 & 2.4954 & 0.007437 \tabularnewline
3 & 0.186006 & 1.5783 & 0.059439 \tabularnewline
4 & -0.025916 & -0.2199 & 0.413283 \tabularnewline
5 & -0.117689 & -0.9986 & 0.16066 \tabularnewline
6 & -0.219519 & -1.8627 & 0.033294 \tabularnewline
7 & -0.186776 & -1.5848 & 0.058692 \tabularnewline
8 & -0.100033 & -0.8488 & 0.199402 \tabularnewline
9 & 0.028785 & 0.2442 & 0.403868 \tabularnewline
10 & 0.073049 & 0.6198 & 0.26866 \tabularnewline
11 & 0.234924 & 1.9934 & 0.025004 \tabularnewline
12 & 0.643267 & 5.4583 & 0 \tabularnewline
13 & 0.276641 & 2.3474 & 0.010829 \tabularnewline
14 & 0.133165 & 1.1299 & 0.131125 \tabularnewline
15 & 0.078298 & 0.6644 & 0.254283 \tabularnewline
16 & -0.092697 & -0.7866 & 0.217061 \tabularnewline
17 & -0.124197 & -1.0538 & 0.147738 \tabularnewline
18 & -0.205911 & -1.7472 & 0.042432 \tabularnewline
19 & -0.200215 & -1.6989 & 0.04683 \tabularnewline
20 & -0.093638 & -0.7945 & 0.214744 \tabularnewline
21 & -0.010596 & -0.0899 & 0.464304 \tabularnewline
22 & 0.05393 & 0.4576 & 0.324306 \tabularnewline
23 & 0.23488 & 1.993 & 0.025025 \tabularnewline
24 & 0.540306 & 4.5846 & 9e-06 \tabularnewline
25 & 0.25674 & 2.1785 & 0.016322 \tabularnewline
26 & 0.123012 & 1.0438 & 0.150037 \tabularnewline
27 & 0.021149 & 0.1795 & 0.429042 \tabularnewline
28 & -0.115572 & -0.9807 & 0.165021 \tabularnewline
29 & -0.138651 & -1.1765 & 0.121637 \tabularnewline
30 & -0.231081 & -1.9608 & 0.026887 \tabularnewline
31 & -0.210914 & -1.7897 & 0.038857 \tabularnewline
32 & -0.114261 & -0.9695 & 0.167761 \tabularnewline
33 & -0.071502 & -0.6067 & 0.272975 \tabularnewline
34 & -0.041658 & -0.3535 & 0.362382 \tabularnewline
35 & 0.074101 & 0.6288 & 0.265746 \tabularnewline
36 & 0.302874 & 2.57 & 0.00612 \tabularnewline
37 & 0.102432 & 0.8692 & 0.193823 \tabularnewline
38 & 0.026195 & 0.2223 & 0.412367 \tabularnewline
39 & -0.054585 & -0.4632 & 0.32232 \tabularnewline
40 & -0.14598 & -1.2387 & 0.109743 \tabularnewline
41 & -0.145596 & -1.2354 & 0.110345 \tabularnewline
42 & -0.237249 & -2.0131 & 0.023921 \tabularnewline
43 & -0.205485 & -1.7436 & 0.042748 \tabularnewline
44 & -0.145312 & -1.233 & 0.110791 \tabularnewline
45 & -0.108272 & -0.9187 & 0.180654 \tabularnewline
46 & -0.045215 & -0.3837 & 0.351179 \tabularnewline
47 & 0.037691 & 0.3198 & 0.375017 \tabularnewline
48 & 0.224949 & 1.9088 & 0.03014 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40439&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.499538[/C][C]4.2387[/C][C]3.3e-05[/C][/ROW]
[ROW][C]2[/C][C]0.294086[/C][C]2.4954[/C][C]0.007437[/C][/ROW]
[ROW][C]3[/C][C]0.186006[/C][C]1.5783[/C][C]0.059439[/C][/ROW]
[ROW][C]4[/C][C]-0.025916[/C][C]-0.2199[/C][C]0.413283[/C][/ROW]
[ROW][C]5[/C][C]-0.117689[/C][C]-0.9986[/C][C]0.16066[/C][/ROW]
[ROW][C]6[/C][C]-0.219519[/C][C]-1.8627[/C][C]0.033294[/C][/ROW]
[ROW][C]7[/C][C]-0.186776[/C][C]-1.5848[/C][C]0.058692[/C][/ROW]
[ROW][C]8[/C][C]-0.100033[/C][C]-0.8488[/C][C]0.199402[/C][/ROW]
[ROW][C]9[/C][C]0.028785[/C][C]0.2442[/C][C]0.403868[/C][/ROW]
[ROW][C]10[/C][C]0.073049[/C][C]0.6198[/C][C]0.26866[/C][/ROW]
[ROW][C]11[/C][C]0.234924[/C][C]1.9934[/C][C]0.025004[/C][/ROW]
[ROW][C]12[/C][C]0.643267[/C][C]5.4583[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0.276641[/C][C]2.3474[/C][C]0.010829[/C][/ROW]
[ROW][C]14[/C][C]0.133165[/C][C]1.1299[/C][C]0.131125[/C][/ROW]
[ROW][C]15[/C][C]0.078298[/C][C]0.6644[/C][C]0.254283[/C][/ROW]
[ROW][C]16[/C][C]-0.092697[/C][C]-0.7866[/C][C]0.217061[/C][/ROW]
[ROW][C]17[/C][C]-0.124197[/C][C]-1.0538[/C][C]0.147738[/C][/ROW]
[ROW][C]18[/C][C]-0.205911[/C][C]-1.7472[/C][C]0.042432[/C][/ROW]
[ROW][C]19[/C][C]-0.200215[/C][C]-1.6989[/C][C]0.04683[/C][/ROW]
[ROW][C]20[/C][C]-0.093638[/C][C]-0.7945[/C][C]0.214744[/C][/ROW]
[ROW][C]21[/C][C]-0.010596[/C][C]-0.0899[/C][C]0.464304[/C][/ROW]
[ROW][C]22[/C][C]0.05393[/C][C]0.4576[/C][C]0.324306[/C][/ROW]
[ROW][C]23[/C][C]0.23488[/C][C]1.993[/C][C]0.025025[/C][/ROW]
[ROW][C]24[/C][C]0.540306[/C][C]4.5846[/C][C]9e-06[/C][/ROW]
[ROW][C]25[/C][C]0.25674[/C][C]2.1785[/C][C]0.016322[/C][/ROW]
[ROW][C]26[/C][C]0.123012[/C][C]1.0438[/C][C]0.150037[/C][/ROW]
[ROW][C]27[/C][C]0.021149[/C][C]0.1795[/C][C]0.429042[/C][/ROW]
[ROW][C]28[/C][C]-0.115572[/C][C]-0.9807[/C][C]0.165021[/C][/ROW]
[ROW][C]29[/C][C]-0.138651[/C][C]-1.1765[/C][C]0.121637[/C][/ROW]
[ROW][C]30[/C][C]-0.231081[/C][C]-1.9608[/C][C]0.026887[/C][/ROW]
[ROW][C]31[/C][C]-0.210914[/C][C]-1.7897[/C][C]0.038857[/C][/ROW]
[ROW][C]32[/C][C]-0.114261[/C][C]-0.9695[/C][C]0.167761[/C][/ROW]
[ROW][C]33[/C][C]-0.071502[/C][C]-0.6067[/C][C]0.272975[/C][/ROW]
[ROW][C]34[/C][C]-0.041658[/C][C]-0.3535[/C][C]0.362382[/C][/ROW]
[ROW][C]35[/C][C]0.074101[/C][C]0.6288[/C][C]0.265746[/C][/ROW]
[ROW][C]36[/C][C]0.302874[/C][C]2.57[/C][C]0.00612[/C][/ROW]
[ROW][C]37[/C][C]0.102432[/C][C]0.8692[/C][C]0.193823[/C][/ROW]
[ROW][C]38[/C][C]0.026195[/C][C]0.2223[/C][C]0.412367[/C][/ROW]
[ROW][C]39[/C][C]-0.054585[/C][C]-0.4632[/C][C]0.32232[/C][/ROW]
[ROW][C]40[/C][C]-0.14598[/C][C]-1.2387[/C][C]0.109743[/C][/ROW]
[ROW][C]41[/C][C]-0.145596[/C][C]-1.2354[/C][C]0.110345[/C][/ROW]
[ROW][C]42[/C][C]-0.237249[/C][C]-2.0131[/C][C]0.023921[/C][/ROW]
[ROW][C]43[/C][C]-0.205485[/C][C]-1.7436[/C][C]0.042748[/C][/ROW]
[ROW][C]44[/C][C]-0.145312[/C][C]-1.233[/C][C]0.110791[/C][/ROW]
[ROW][C]45[/C][C]-0.108272[/C][C]-0.9187[/C][C]0.180654[/C][/ROW]
[ROW][C]46[/C][C]-0.045215[/C][C]-0.3837[/C][C]0.351179[/C][/ROW]
[ROW][C]47[/C][C]0.037691[/C][C]0.3198[/C][C]0.375017[/C][/ROW]
[ROW][C]48[/C][C]0.224949[/C][C]1.9088[/C][C]0.03014[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40439&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40439&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	0.499538	4.2387	3.3e-05
2	0.294086	2.4954	0.007437
3	0.186006	1.5783	0.059439
4	-0.025916	-0.2199	0.413283
5	-0.117689	-0.9986	0.16066
6	-0.219519	-1.8627	0.033294
7	-0.186776	-1.5848	0.058692
8	-0.100033	-0.8488	0.199402
9	0.028785	0.2442	0.403868
10	0.073049	0.6198	0.26866
11	0.234924	1.9934	0.025004
12	0.643267	5.4583	0
13	0.276641	2.3474	0.010829
14	0.133165	1.1299	0.131125
15	0.078298	0.6644	0.254283
16	-0.092697	-0.7866	0.217061
17	-0.124197	-1.0538	0.147738
18	-0.205911	-1.7472	0.042432
19	-0.200215	-1.6989	0.04683
20	-0.093638	-0.7945	0.214744
21	-0.010596	-0.0899	0.464304
22	0.05393	0.4576	0.324306
23	0.23488	1.993	0.025025
24	0.540306	4.5846	9e-06
25	0.25674	2.1785	0.016322
26	0.123012	1.0438	0.150037
27	0.021149	0.1795	0.429042
28	-0.115572	-0.9807	0.165021
29	-0.138651	-1.1765	0.121637
30	-0.231081	-1.9608	0.026887
31	-0.210914	-1.7897	0.038857
32	-0.114261	-0.9695	0.167761
33	-0.071502	-0.6067	0.272975
34	-0.041658	-0.3535	0.362382
35	0.074101	0.6288	0.265746
36	0.302874	2.57	0.00612
37	0.102432	0.8692	0.193823
38	0.026195	0.2223	0.412367
39	-0.054585	-0.4632	0.32232
40	-0.14598	-1.2387	0.109743
41	-0.145596	-1.2354	0.110345
42	-0.237249	-2.0131	0.023921
43	-0.205485	-1.7436	0.042748
44	-0.145312	-1.233	0.110791
45	-0.108272	-0.9187	0.180654
46	-0.045215	-0.3837	0.351179
47	0.037691	0.3198	0.375017
48	0.224949	1.9088	0.03014

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.499538	4.2387	3.3e-05
2	0.059361	0.5037	0.308008
3	0.024293	0.2061	0.418634
4	-0.186365	-1.5814	0.059089
5	-0.077256	-0.6555	0.257105
6	-0.143315	-1.2161	0.113966
7	0.030159	0.2559	0.399376
8	0.056864	0.4825	0.315454
9	0.139127	1.1805	0.120837
10	-0.008644	-0.0733	0.470867
11	0.194655	1.6517	0.051475
12	0.596492	5.0614	2e-06
13	-0.512861	-4.3518	2.2e-05
14	-0.129969	-1.1028	0.136887
15	0.036015	0.3056	0.380397
16	0.042795	0.3631	0.358787
17	0.009244	0.0784	0.468848
18	0.051144	0.434	0.332805
19	-0.040168	-0.3408	0.36711
20	0.008134	0.069	0.472584
21	0.005467	0.0464	0.481566
22	0.188805	1.6021	0.05676
23	0.141315	1.1991	0.117211
24	-0.110135	-0.9345	0.176578
25	-0.068624	-0.5823	0.281095
26	-0.029649	-0.2516	0.40104
27	-0.15843	-1.3443	0.091532
28	0.123001	1.0437	0.150058
29	0.030432	0.2582	0.398484
30	-0.079591	-0.6754	0.250807
31	0.05977	0.5072	0.306794
32	-0.044999	-0.3818	0.351856
33	-0.018395	-0.1561	0.4382
34	-0.117067	-0.9933	0.161934
35	-0.217087	-1.842	0.034793
36	0.042814	0.3633	0.358726
37	0.024792	0.2104	0.416987
38	0.043274	0.3672	0.357278
39	0.091835	0.7792	0.219194
40	-0.149853	-1.2715	0.103814
41	-0.107575	-0.9128	0.182196
42	0.039475	0.335	0.369316
43	-0.016756	-0.1422	0.443668
44	-0.065404	-0.555	0.290318
45	0.010698	0.0908	0.463961
46	0.005801	0.0492	0.48044
47	-0.003448	-0.0293	0.488372
48	-0.035739	-0.3033	0.381285

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & 0.499538 & 4.2387 & 3.3e-05 \tabularnewline
2 & 0.059361 & 0.5037 & 0.308008 \tabularnewline
3 & 0.024293 & 0.2061 & 0.418634 \tabularnewline
4 & -0.186365 & -1.5814 & 0.059089 \tabularnewline
5 & -0.077256 & -0.6555 & 0.257105 \tabularnewline
6 & -0.143315 & -1.2161 & 0.113966 \tabularnewline
7 & 0.030159 & 0.2559 & 0.399376 \tabularnewline
8 & 0.056864 & 0.4825 & 0.315454 \tabularnewline
9 & 0.139127 & 1.1805 & 0.120837 \tabularnewline
10 & -0.008644 & -0.0733 & 0.470867 \tabularnewline
11 & 0.194655 & 1.6517 & 0.051475 \tabularnewline
12 & 0.596492 & 5.0614 & 2e-06 \tabularnewline
13 & -0.512861 & -4.3518 & 2.2e-05 \tabularnewline
14 & -0.129969 & -1.1028 & 0.136887 \tabularnewline
15 & 0.036015 & 0.3056 & 0.380397 \tabularnewline
16 & 0.042795 & 0.3631 & 0.358787 \tabularnewline
17 & 0.009244 & 0.0784 & 0.468848 \tabularnewline
18 & 0.051144 & 0.434 & 0.332805 \tabularnewline
19 & -0.040168 & -0.3408 & 0.36711 \tabularnewline
20 & 0.008134 & 0.069 & 0.472584 \tabularnewline
21 & 0.005467 & 0.0464 & 0.481566 \tabularnewline
22 & 0.188805 & 1.6021 & 0.05676 \tabularnewline
23 & 0.141315 & 1.1991 & 0.117211 \tabularnewline
24 & -0.110135 & -0.9345 & 0.176578 \tabularnewline
25 & -0.068624 & -0.5823 & 0.281095 \tabularnewline
26 & -0.029649 & -0.2516 & 0.40104 \tabularnewline
27 & -0.15843 & -1.3443 & 0.091532 \tabularnewline
28 & 0.123001 & 1.0437 & 0.150058 \tabularnewline
29 & 0.030432 & 0.2582 & 0.398484 \tabularnewline
30 & -0.079591 & -0.6754 & 0.250807 \tabularnewline
31 & 0.05977 & 0.5072 & 0.306794 \tabularnewline
32 & -0.044999 & -0.3818 & 0.351856 \tabularnewline
33 & -0.018395 & -0.1561 & 0.4382 \tabularnewline
34 & -0.117067 & -0.9933 & 0.161934 \tabularnewline
35 & -0.217087 & -1.842 & 0.034793 \tabularnewline
36 & 0.042814 & 0.3633 & 0.358726 \tabularnewline
37 & 0.024792 & 0.2104 & 0.416987 \tabularnewline
38 & 0.043274 & 0.3672 & 0.357278 \tabularnewline
39 & 0.091835 & 0.7792 & 0.219194 \tabularnewline
40 & -0.149853 & -1.2715 & 0.103814 \tabularnewline
41 & -0.107575 & -0.9128 & 0.182196 \tabularnewline
42 & 0.039475 & 0.335 & 0.369316 \tabularnewline
43 & -0.016756 & -0.1422 & 0.443668 \tabularnewline
44 & -0.065404 & -0.555 & 0.290318 \tabularnewline
45 & 0.010698 & 0.0908 & 0.463961 \tabularnewline
46 & 0.005801 & 0.0492 & 0.48044 \tabularnewline
47 & -0.003448 & -0.0293 & 0.488372 \tabularnewline
48 & -0.035739 & -0.3033 & 0.381285 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40439&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]0.499538[/C][C]4.2387[/C][C]3.3e-05[/C][/ROW]
[ROW][C]2[/C][C]0.059361[/C][C]0.5037[/C][C]0.308008[/C][/ROW]
[ROW][C]3[/C][C]0.024293[/C][C]0.2061[/C][C]0.418634[/C][/ROW]
[ROW][C]4[/C][C]-0.186365[/C][C]-1.5814[/C][C]0.059089[/C][/ROW]
[ROW][C]5[/C][C]-0.077256[/C][C]-0.6555[/C][C]0.257105[/C][/ROW]
[ROW][C]6[/C][C]-0.143315[/C][C]-1.2161[/C][C]0.113966[/C][/ROW]
[ROW][C]7[/C][C]0.030159[/C][C]0.2559[/C][C]0.399376[/C][/ROW]
[ROW][C]8[/C][C]0.056864[/C][C]0.4825[/C][C]0.315454[/C][/ROW]
[ROW][C]9[/C][C]0.139127[/C][C]1.1805[/C][C]0.120837[/C][/ROW]
[ROW][C]10[/C][C]-0.008644[/C][C]-0.0733[/C][C]0.470867[/C][/ROW]
[ROW][C]11[/C][C]0.194655[/C][C]1.6517[/C][C]0.051475[/C][/ROW]
[ROW][C]12[/C][C]0.596492[/C][C]5.0614[/C][C]2e-06[/C][/ROW]
[ROW][C]13[/C][C]-0.512861[/C][C]-4.3518[/C][C]2.2e-05[/C][/ROW]
[ROW][C]14[/C][C]-0.129969[/C][C]-1.1028[/C][C]0.136887[/C][/ROW]
[ROW][C]15[/C][C]0.036015[/C][C]0.3056[/C][C]0.380397[/C][/ROW]
[ROW][C]16[/C][C]0.042795[/C][C]0.3631[/C][C]0.358787[/C][/ROW]
[ROW][C]17[/C][C]0.009244[/C][C]0.0784[/C][C]0.468848[/C][/ROW]
[ROW][C]18[/C][C]0.051144[/C][C]0.434[/C][C]0.332805[/C][/ROW]
[ROW][C]19[/C][C]-0.040168[/C][C]-0.3408[/C][C]0.36711[/C][/ROW]
[ROW][C]20[/C][C]0.008134[/C][C]0.069[/C][C]0.472584[/C][/ROW]
[ROW][C]21[/C][C]0.005467[/C][C]0.0464[/C][C]0.481566[/C][/ROW]
[ROW][C]22[/C][C]0.188805[/C][C]1.6021[/C][C]0.05676[/C][/ROW]
[ROW][C]23[/C][C]0.141315[/C][C]1.1991[/C][C]0.117211[/C][/ROW]
[ROW][C]24[/C][C]-0.110135[/C][C]-0.9345[/C][C]0.176578[/C][/ROW]
[ROW][C]25[/C][C]-0.068624[/C][C]-0.5823[/C][C]0.281095[/C][/ROW]
[ROW][C]26[/C][C]-0.029649[/C][C]-0.2516[/C][C]0.40104[/C][/ROW]
[ROW][C]27[/C][C]-0.15843[/C][C]-1.3443[/C][C]0.091532[/C][/ROW]
[ROW][C]28[/C][C]0.123001[/C][C]1.0437[/C][C]0.150058[/C][/ROW]
[ROW][C]29[/C][C]0.030432[/C][C]0.2582[/C][C]0.398484[/C][/ROW]
[ROW][C]30[/C][C]-0.079591[/C][C]-0.6754[/C][C]0.250807[/C][/ROW]
[ROW][C]31[/C][C]0.05977[/C][C]0.5072[/C][C]0.306794[/C][/ROW]
[ROW][C]32[/C][C]-0.044999[/C][C]-0.3818[/C][C]0.351856[/C][/ROW]
[ROW][C]33[/C][C]-0.018395[/C][C]-0.1561[/C][C]0.4382[/C][/ROW]
[ROW][C]34[/C][C]-0.117067[/C][C]-0.9933[/C][C]0.161934[/C][/ROW]
[ROW][C]35[/C][C]-0.217087[/C][C]-1.842[/C][C]0.034793[/C][/ROW]
[ROW][C]36[/C][C]0.042814[/C][C]0.3633[/C][C]0.358726[/C][/ROW]
[ROW][C]37[/C][C]0.024792[/C][C]0.2104[/C][C]0.416987[/C][/ROW]
[ROW][C]38[/C][C]0.043274[/C][C]0.3672[/C][C]0.357278[/C][/ROW]
[ROW][C]39[/C][C]0.091835[/C][C]0.7792[/C][C]0.219194[/C][/ROW]
[ROW][C]40[/C][C]-0.149853[/C][C]-1.2715[/C][C]0.103814[/C][/ROW]
[ROW][C]41[/C][C]-0.107575[/C][C]-0.9128[/C][C]0.182196[/C][/ROW]
[ROW][C]42[/C][C]0.039475[/C][C]0.335[/C][C]0.369316[/C][/ROW]
[ROW][C]43[/C][C]-0.016756[/C][C]-0.1422[/C][C]0.443668[/C][/ROW]
[ROW][C]44[/C][C]-0.065404[/C][C]-0.555[/C][C]0.290318[/C][/ROW]
[ROW][C]45[/C][C]0.010698[/C][C]0.0908[/C][C]0.463961[/C][/ROW]
[ROW][C]46[/C][C]0.005801[/C][C]0.0492[/C][C]0.48044[/C][/ROW]
[ROW][C]47[/C][C]-0.003448[/C][C]-0.0293[/C][C]0.488372[/C][/ROW]
[ROW][C]48[/C][C]-0.035739[/C][C]-0.3033[/C][C]0.381285[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40439&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40439&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	0.499538	4.2387	3.3e-05
2	0.059361	0.5037	0.308008
3	0.024293	0.2061	0.418634
4	-0.186365	-1.5814	0.059089
5	-0.077256	-0.6555	0.257105
6	-0.143315	-1.2161	0.113966
7	0.030159	0.2559	0.399376
8	0.056864	0.4825	0.315454
9	0.139127	1.1805	0.120837
10	-0.008644	-0.0733	0.470867
11	0.194655	1.6517	0.051475
12	0.596492	5.0614	2e-06
13	-0.512861	-4.3518	2.2e-05
14	-0.129969	-1.1028	0.136887
15	0.036015	0.3056	0.380397
16	0.042795	0.3631	0.358787
17	0.009244	0.0784	0.468848
18	0.051144	0.434	0.332805
19	-0.040168	-0.3408	0.36711
20	0.008134	0.069	0.472584
21	0.005467	0.0464	0.481566
22	0.188805	1.6021	0.05676
23	0.141315	1.1991	0.117211
24	-0.110135	-0.9345	0.176578
25	-0.068624	-0.5823	0.281095
26	-0.029649	-0.2516	0.40104
27	-0.15843	-1.3443	0.091532
28	0.123001	1.0437	0.150058
29	0.030432	0.2582	0.398484
30	-0.079591	-0.6754	0.250807
31	0.05977	0.5072	0.306794
32	-0.044999	-0.3818	0.351856
33	-0.018395	-0.1561	0.4382
34	-0.117067	-0.9933	0.161934
35	-0.217087	-1.842	0.034793
36	0.042814	0.3633	0.358726
37	0.024792	0.2104	0.416987
38	0.043274	0.3672	0.357278
39	0.091835	0.7792	0.219194
40	-0.149853	-1.2715	0.103814
41	-0.107575	-0.9128	0.182196
42	0.039475	0.335	0.369316
43	-0.016756	-0.1422	0.443668
44	-0.065404	-0.555	0.290318
45	0.010698	0.0908	0.463961
46	0.005801	0.0492	0.48044
47	-0.003448	-0.0293	0.488372
48	-0.035739	-0.3033	0.381285

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;

R code (references can be found in the software module):

if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code